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Internet use and willingness to participate in garbage classification: an investigation of Chinese residents

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  • Wanglin Ma
  • Zhongkun Zhu

Abstract

This study contributes to the literature by investigating the factors factors affecting Chinese residents' willingness to participate (WTP) in garbage classification, paying particular attention to the role of Internet use. Data are drawn from the 2016 China Labour-force Dynamics Survey (N = 13,499) and analysed using a recursive bivariate probit model. The results show that Internet use can motivate people to classify the household garbage, and it increases Chinese residents’ WTP in garbage classification by 4.7 percentage points. The results also show that WTP in garbage classification of Chinese residents is largely influenced by their Internet use via smartphones. Our findings highlight the importance of distributing garbage classification information via Internet media, especially smartphones.

Suggested Citation

  • Wanglin Ma & Zhongkun Zhu, 2021. "Internet use and willingness to participate in garbage classification: an investigation of Chinese residents," Applied Economics Letters, Taylor & Francis Journals, vol. 28(9), pages 788-793, May.
    • Handle: RePEc:taf:apeclt:v:28:y:2021:i:9:p:788-793
    DOI: 10.1080/13504851.2020.1781766
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    Cited by:

    1. Xiaoheng Zhang & Wanglin Ma & Puneet Vatsa & Shijie Jiang, 2023. "Short supply chain, technical efficiency, and technological change: Insights from cucumber production," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 371-386, March.
    2. Daniel Adu Ankrah & Bright Owusu Asante & Stephen Prah & Forster K. Boateng, 2024. "Impact of digital financial inclusion on the participation in farmer‐based organisations, structured market and off‐farm work in Ghana," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(2), pages 1254-1273, March.
    3. Li, Ye & Yang, Tianjian & Zhang, Yu, 2022. "Evolutionary game theory-based system dynamics modeling for community solid waste classification in China," Utilities Policy, Elsevier, vol. 79(C).
    4. Zhou, Xiaoshi & Vatsa, Puneet & Ma, Wanglin, 2023. "Impact of internet use on value and diversity of risky financial asset portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 188-193.
    5. Fanlue Li & Ke He & Run Zhu & Junbiao Zhang & Ming Gao, 2023. "Rural low‐carbon energy development in the information age: Can internet access drive the farmer to participate in personal carbon trading schemes related to bioenergy?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1417-1432, June.
    6. Rui Zhao & Xinyun Ren & Yan Liu & Yujun Li & Ruyin Long, 2022. "Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring," IJERPH, MDPI, vol. 19(14), pages 1-17, July.

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